title: Workplace psychosocial factors associated with work-related injury absence: a study from a nationally representative sample of Korean workers.
abstract: BACKGROUND
  Little is known about the association between psychosocial factors and injury absence in the workplace.
  
  
  OBJECTIVE
  This study aims to assess the association of comprehensive workplace psychosocial factors with work-related injury absence among Korean workers.
  
  
  METHODS
  The data (n = 7,856) were derived from the First Korean Working Conditions Survey conducted in 2006 with a representative sample (n = 10,043) of the Korean working population. The survey instrument contained questions about hours of work, physical risk factors, work organization, and the effect of work on health/injury. Work-related injury absence was indicated by a dichotomous variable with at least 1 day absence during the preceding 12 months. Logistic regression models were used to calculate odds ratio and confidence interval (CI). Incremental adjustments for sociodemographic, health behavior, and occupational confounding variables were employed in the models.
  
  
  RESULTS
  The overall 1-year prevalence of work-related injury absence in this study was 1.37 % (95 % CI, 1.11-1.63 %). Those who experienced violence at work (adjusted odds ratio (aOR), 7.05 (95 % CI, 2.69-18.5)), threat of violence at work (aOR, 4.25 (95 % CI, 1.32-13.64)), low job autonomy (aOR, 1.79 (95 % CI, 1.17-2.74)), and high job strain (aOR, 2.38 (95 % CI, 1.29-4.42) had an increased risk of injury absence, compared with their respective counterparts (p < 0.05). Among all job types, skilled workers in Korea were at a near fourfold risk of work absence due to occupational injuries, compared with managers in low-risk jobs.
  
  
  CONCLUSIONS
  Workplace violence and increased job strain were two key workplace psychosocial factors associated with work-related injury absence.
authors.affiliation: Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, OH, USA.
authors.forename: Ming-Lun
authors.initials: ML
authors.lastname: Lu
authors.forename: Akinori
authors.initials: A
authors.lastname: Nakata
authors.forename: Jae Bum
authors.initials: JB
authors.lastname: Park
authors.forename: Naomi G
authors.initials: NG
authors.lastname: Swanson
mesh_terms: D000041:Absenteeism; D000062:Accidents, Occupational / Q000523:psychology* / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D016001:Confidence Intervals; D005260:Female; D015438:Health Behavior; D006306:Health Surveys; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009790:Occupations; D016017:Odds Ratio; D015995:Prevalence; D056910:Republic of Korea / Q000453:epidemiology; D012307:Risk Factors; D017678:Sex Distribution; D011795:Surveys and Questionnaires; D014754:Violence / Q000523:psychology* / Q000706:statistics & numerical data; D017132:Workplace / Q000523:psychology* / Q000706:statistics & numerical data; D014947:Wounds and Injuries / Q000453:epidemiology / Q000523:psychology*; D055815:Young Adult